Frontiers | Editorial: ML and AI Safety, Effectiveness and Explainability in Healthcare
2Aifred Health, Inc., Montreal, QC, Canada 3Department of Information Science, Bar-Ilan University, Ramat Gan, Israel 4Department of Mathematics, Queens College (CUNY), New York City, NY, United States Editorial on the Research Topic The increasing performance of machine learning and artificial intelligence (ML/AI) models has led to them being encountered more frequently in daily life, including in clinical medicine (Bruckert et al.; Rosenfeld et al., 2021). While concerns about the opaque “black box” nature of ML/AI tools are not new, the need for practical solutions to the interpretabil...
Source: frontiersin.org